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Ultra-deep Tyrosine Phosphoproteomics Enabled by a Phosphotyrosine Superbinder

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Journal Nat Chem Biol
Date 2016 Sep 20
PMID 27642862
Citations 52
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Abstract

We present a new strategy for systematic identification of phosphotyrosine (pTyr) by affinity purification mass spectrometry (AP-MS) using a Src homology 2 (SH2)-domain-derived pTyr superbinder as the affinity reagent. The superbinder allows for markedly deeper coverage of the Tyr phosphoproteome than anti-pTyr antibodies when an optimal amount is used. We identified ∼20,000 distinct phosphotyrosyl peptides and >10,000 pTyr sites, of which 36% were 'novel', from nine human cell lines using the superbinder approach. Tyrosine kinases, SH2 domains and phosphotyrosine phosphatases were preferably phosphorylated, suggesting that the toolkit of kinase signaling is subject to intensive regulation by phosphorylation. Cell-type-specific global kinase activation patterns inferred from label-free quantitation of Tyr phosphorylation guided the design of experiments to inhibit cancer cell proliferation by blocking the highly activated tyrosine kinases. Therefore, the superbinder is a highly efficient and cost-effective alternative to conventional antibodies for systematic and quantitative characterization of the tyrosine phosphoproteome under normal or pathological conditions.

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References
1.
Boersema P, Foong L, Ding V, Lemeer S, van Breukelen B, Philp R . In-depth qualitative and quantitative profiling of tyrosine phosphorylation using a combination of phosphopeptide immunoaffinity purification and stable isotope dimethyl labeling. Mol Cell Proteomics. 2009; 9(1):84-99. PMC: 2808269. DOI: 10.1074/mcp.M900291-MCP200. View

2.
Zhou H, Ye M, Dong J, Corradini E, Cristobal A, Heck A . Robust phosphoproteome enrichment using monodisperse microsphere-based immobilized titanium (IV) ion affinity chromatography. Nat Protoc. 2013; 8(3):461-80. DOI: 10.1038/nprot.2013.010. View

3.
Lee M, Ye A, Gardino A, Heijink A, Sorger P, MacBeath G . Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks. Cell. 2012; 149(4):780-94. PMC: 3501264. DOI: 10.1016/j.cell.2012.03.031. View

4.
Rush J, Moritz A, Lee K, Guo A, Goss V, Spek E . Immunoaffinity profiling of tyrosine phosphorylation in cancer cells. Nat Biotechnol. 2004; 23(1):94-101. DOI: 10.1038/nbt1046. View

5.
Lemmon M, Schlessinger J . Cell signaling by receptor tyrosine kinases. Cell. 2010; 141(7):1117-34. PMC: 2914105. DOI: 10.1016/j.cell.2010.06.011. View